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
今週のチャレンジは、データのピボット、準備、およびレポートに関するものです。
このデータセットには、ID、GROUP(グループ)、TEAM (所属するチーム)、REGION(地域)、サッカー選手に関する情報が一覧表示されます。
次のデータセットを使用して、次のことを行ってください。
- データをピボットして、それぞれのREGION(地域)とTEAM (所属するチーム)に基づいた各グループのIDの数を示してください。
- 各GROUP(グループ)の選手の数が各REGION(地域)とTEAM(チーム)ごとに表示されるようにデータを整理してください。
- 今までのステップで整理したデータを示すレポートを作成してください。
C:\Users\tkaneko\AppData\Local\Temp\Engine_2180_700bf56c96a842d891648f933225890c_\Engine_11692_f21939c076144d4c9254c5180ac017e1_.yxdb
Single
Profile
Data.yxdb
Data.yxdb
C:\Users\tkaneko\AppData\Local\Temp\Engine_2180_700bf56c96a842d891648f933225890c_\Engine_11692_1cbdf27c9ec54e78bfce8a0416f6bf95_.yxdb
Single
Report
Output.yxdb
Output.yxdb
ウィークリーチャレンジ #140
Basic
100%
Formula
Data
TEAM
==
1
Contains([TEAM], "REGION")
Row Rule 1
Formula
Data
==
1
Contains([TEAM], "Grand")
Row Rule 2
Basic Table
C:\Users\tkaneko\AppData\Local\Temp\Engine_2180_700bf56c96a842d891648f933225890c_\Engine_11692_011f4dd6ed96459596f86fe3eb674b25_.yxdb
Single
Report
Total = [0_to_5] + [6_to_10] + [11_to_15] + [16_to_20] + [21_to_30] + [31_to_60]...
False
False
"0_to_5","6_to_10","11_to_15","16_to_20","21_to_30","31_to_60","61_to_90","91_to_180","__180"
False
True
True
False
False
False
False
False
False
upper
Warning
All
ByName
REGION - Ascending
TEAM - Ascending
Alteryx 教育アセット 使用許諾条件
Horizontal
challenge_ja_140_start